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Gadgets DB#

functionalities:#

  • regroup information
  • promote accurate information
  • computer-friendly
  • human friendly
  • full text search
  • precise queries
  • describe interoperability features (plugs, protocols)
  • improve extraction of information
  • explain cryptic characteristics (e.g. Processor number gives gigahertz and nb of cores)

Sources of information:#

  • online shops -> characteristics, price, images, text description, manual, link to manufacturer
  • manufacturer website -> specs, whitepapers, manual,
  • wikipedia
  • gadget websites
  • hacking websites -> internals, projects using the gadget
  • search engine -> urls to check for more information

Modes of operation:#

  • firefox extension that analyzes current page
  • wiki like website
  • mindmap
  • match projects and gadgets (e.g. Project using ir on palm, suggest Zaurus)
  • find gadgets that work together
  • check source(s) for a fact
  • add credibility to a fact

Important aspects of gadgets:#

  • brand, reference, manufacturer
  • price
  • power supply, battery operation
  • physical connectors
  • displays
  • speakers
  • microphones
  • keys, buttons
  • touchable areas
  • weight, size
  • operating conditions (temperature)
  • wireless communication
  • processing units
  • RAM
  • ROM
  • Flash
  • expansion slots
  • storage
  • software compatibility
  • availability (when, sellers)

Gather data from one web page:#

  • need to use structure (tables for instance)
  • customization per website
  • level 0: gather key:value pairs , e.g. "Nb usb port" : "6"
  • level 0: exclude parts of web pages that are about something else (menus etc)
  • level 0: merge key:value pairs from multiple sources (keep traceability separately)
  • level 0: store key:value pairs in repository
  • level 0: consult key:value pairs
  • level 0: find similar objects
  • level 0: compare 2 objects (diff)
  • level 0: search for objects with certain characteristics.
  • level 1: associate keys with different names
  • level 1: break up key value pairs that are grouped unduly by source
  • level 1: add links automatically in consultation about key:value pairs (e.g. Processor reference, manufacturer etc.)
  • level 1: add links automatically in webpage
  • level: draw chonologies, charts
  • level 2: look at unstructured doc and extract key:value information by matching keywords and patterns

Page observation data model#

A page observation can be described by:
  • unique id of observation
  • url: url where observation was made
  • date time of observation
  • title
  • alias(es) of object described
  • other key values pairs

This means that a page/observation is associated of aliases. This means a key can have multiple values. Not really ideal

Aliases can be stored in an index, occurrences of aliases in a document can be used to link to possible interpretations. A unique Alias can be added to a document (manually? Ouch!). An occurrence of an alias could be annotated with the unique alias (wiki syntax?)

Changing/adding values to an observation makes traceability harder. How do I avoid that? Maybe just keep an audit log.

One problem: how to go from observations to a single body of facts:

  • create a group of all observations relating to the same item?
  • merge/filter and create a new observation
Observations can be performed multiple times and yield different results (e.g. Price may change). Do we keep all individual observation or just keep track of changes?

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« This particular version was published on 26-Jul-2010 16:10 by pog.  
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